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Most people have no idea how widespread AI is on every social app. I’m now finding big accounts that are clearly AI every day - but the followers have no idea. Take this AI cockatoo, who has 600K followers on IG after posting for a month. This video alone has 148M views 🤯
Partner @a16z AI 🤖 and twin to @omooretweets | Investor in @elevenlabsio, @krea_ai, @bfl_ml, @hedra_labs, @wabi, @WaveFormsAI, @ViggleAI, @MireloAI
RT @starter_story: WE WILL NOT BE PUBLISHING ON YOUTUBE TODAY (as they have deemed our videos too "dangerous" for the platform) Instead,…
https://t.co/zSf5Z2H78P https://t.co/ryMAyS77qn https://t.co/Gm6gdHaLgp On a mission to inspire 1B people to build stuff!
Just published my analysis of Charlie Parker's improvisation using computational methods on the complete Omnibook corpus. Key findings that surprised me: - Parker is "planning" entire choruses architecturally, not just reacting moment-to-moment - His most-used harmonic structures are deliberately ambiguous (low triadic content). - I also found three distinct improvisational strategies he uses: "Exploratory" (composed), "Balanced" (mixed), "Contrasting" (episodic) - Parker adds minimal new material throughout improvisation, but rather navigates tunes finding new solutions with existing material stated in heads. From an interval vector perspective, the most complex tune is "Cosmic Rays" while "My Little Suede Shoes" is both the simplest tune in the corpus and the most unpredictable (mathematically speaking) Full paper:
Running 10+ SaaS in parallel at https://t.co/3sUSmGdehM since 2011! ⚡️ 🇮🇹 Italian 🎷 Jazz musician 🥎 Padel addicted
CAIS is organized by a great steering and organizing committee, including @heathercmiller @jaredq_ @deeptir18 @ChenLingjiao @JeffDean @lmthang @gneubig @pirroh @dawnsongtweets @istoica05 @lateinteraction @MonicaSLam @ChrisGPotts @NaveenGRao. Submit your papers & workshops in Feb!
CTO at @Databricks and CS prof at @UCBerkeley. Working on data+AI, including @ApacheSpark, @DeltaLakeOSS, @MLflow, @DSPyOSS. https://t.co/nmRYAKFsWr
I'm thrilled to be co-organizing a new ACM research Conference on Agentic & AI Systems (CAIS) this spring! It's the first conference focused solely on this field. 🌐https://t.co/uru9OnKk6m 📍San Jose, May 26-29, 2026 🗓️Paper deadline Feb 27th Follow @CAISconf for updates!
CAIS is organized by a great steering and organizing committee, including @heathercmiller @jaredq_ @deeptir18 @ChenLingjiao @JeffDean @lmthang @gneubig @pirroh @dawnsongtweets @istoica05 @lateinteraction @MonicaSLam @ChrisGPotts @NaveenGRao. Submit your papers & workshops in Feb!
The Transformer architecture is fundamentally a parallel processor of context, but reasoning is a sequential, iterative process. To solve complex problems, a model needs a "scratchpad" not just in its output CoT, but in its internal state. A differentiable way to loop, branch, and backtrack until the model finds a solution that works.
Co-founder @ndea. Co-founder @arcprize. Creator of Keras and ARC-AGI. Author of 'Deep Learning with Python'.